Vik Meadows

1.1k citations
32 papers · 484 · h-index 14

Impact in

  • Hepatology top 5%
    • Liver Diseases and Immunity
    • Liver physiology and pathology
    • Liver Disease Diagnosis and Treatment

Papers in

    • Drug Transport and Resistance Mechanisms 13
    • Liver Diseases and Immunity 12
    • Liver physiology and pathology 4

Vik Meadows

29 papers receiving 479 citations

Peers

Vik Meadows
Comparison fields: 5 of 68
  • Hepatology 165
  • Epidemiology 204
  • Endocrine and Autonomic Systems 39
  • Immunology 76
  • Biological Psychiatry 9
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Debjyoti Kundu United States
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Marina Nati Germany
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Ramasamy Selvarani United States
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Vik Meadows relative to Debjyoti Kundu United States Debjyoti Kundu's profile →
Citations per field
00.5×1.5×
Debjyoti Kundu · 1×
Citations per year

Countries citing papers authored by Vik Meadows

Since Specialization
Citations

This map shows the geographic impact of Vik Meadows's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Vik Meadows with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vik Meadows more than expected).

Fields of papers citing papers by Vik Meadows

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vik Meadows. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Vik Meadows. The network helps show where Vik Meadows may publish in the future.

Co-authors

The 25 scholars most cited alongside Vik Meadows, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Vik Meadows Line = papers co-authored together Vik Meadows links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202150
2 202047
3 202141
4 201930
5 202126
6 202226
7 202023
8 202123
9 202121
10 202020
11 202319
12 202018
13 202117
14 202117
15 202013
16 202312
17 202010
18 202210
19 20229
20 20219

About Vik Meadows

Vik Meadows is a scholar working on Oncology, Hepatology, Surgery, Epidemiology and Molecular Biology, having authored 32 papers that have together received 484 indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (13 papers), Liver Disease Diagnosis and Treatment (12 papers), Liver Diseases and Immunity (12 papers), Pediatric Hepatobiliary Diseases and Treatments (8 papers), Mast cells and histamine (6 papers), Liver physiology and pathology (4 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (4 papers) and Circadian rhythm and melatonin (2 papers). The work is most often cited by research in Hepatology (165 citations), Epidemiology (204 citations), Endocrine and Autonomic Systems (39 citations), Immunology (76 citations) and Biological Psychiatry (9 citations). Vik Meadows has collaborated with scholars based in United States, Italy and Netherlands. Frequent co-authors include Lindsey Kennedy, Heather Francis, Gianfranco Alpini, Debjyoti Kundu, Shannon Glaser, Tianhao Zhou, Burcin Ekser, Konstantina Kyritsi, Leonardo Baiocchi and Lixian Chen. Their work appears in journals such as Hepatology, Toxicological Sciences, Cells, American Journal Of Pathology and Hepatology Communications.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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